An EMG and IMU Dataset for the Italian Sign Language Alphabet

This data repository contains surface electromyography (EMG) and Inertial Measurement Unit (IMU) data collected with the Myo Gesture Control Armband about the gestures of the 26 letters of the Italian Sign Language Alphabet. The dataset contains 780 gesture samples (30 for each letter of the alphabet) and is organized into 26 directories, one for each letter of the alphabet. Each directory includes 30 json files, one for each sample of the gesture representing a letter. Each json file is named using a Global Unique Identifier (GUID), and include the following field:
- timestamp, a string representing the date and time of the gesture acquisition. For example, the string “09/07/20/10:03:19” suggests that the gesture and its acquisition were performed the 9th of July 2020, at 10:03:19 a.m.
- duration, an integer describing how long was the data acquisition of the gesture in milliseconds. The value is 2000 in all the json files, since the time window for the data acquisition was 2 seconds;
- emg, an object representing the EMG data of the gesture. It has two fields
- frequency, i.e. the sampling frequency (in Hz) of the values from the EMG sensors. This value is 200 in all the json files;
- data, a 400 x 8 integer matrix. Each row is then an 8-dimensional array including the values from the 8 EMG sensors of the Myo Armband. Therefore, data is the time series of the values from the EMG sensors during the acquisition of the gesture;
- imu, an object representing the IMU data of the gesture acquisition. It has two fields
- frequency, i.e. the sampling frequency (in Hz) of the values from the IMU. This value is 200 in all the json files;
- data, a 400 elements length object array. Each object has three fields, namely gyroscope (an array composed by 3 floating point values), acceleration (an array composed by 3 floating point values), and rotation (an array composed by 4 floating point values).

The dataset can be used during the training and the testing of algorithms and techniques for automatic gesture recognition and, specifically, for automatic sign language interpretation.

本数据仓库包含了使用 Myo 动作控制臂带收集的表面肌电图（EMG）和惯性测量单元（IMU）数据，涉及意大利手语字母表中的26个字母手势。该数据集包含780个手势样本（每个字母30个），并按照字母顺序组织成26个目录，每个目录对应一个字母。每个目录包含30个文件，每个文件代表一个字母手势样本。每个文件使用全局唯一标识符（GUID）命名，并包含以下字段：

- 时间戳，表示手势采集的日期和时间，例如字符串“09/07/20/10:03:19”表明手势及其采集是在2020年7月9日上午10:03:19进行的；
- 持续时间，以毫秒为单位的整数，描述了手势数据采集的时长。所有文件中的值均为2000，因为数据采集的时间窗口为2秒；
- 肌电图（EMG），一个表示手势EMG数据的对象。它包含两个字段：
- 频率，即肌电图传感器的采样频率（单位为Hz）。所有文件中的此值均为200；
- 数据，一个400行8列的整数矩阵。每一行是一个包含Myo臂带8个肌电图传感器的8维数组。因此，数据是肌电图传感器在采集手势过程中的时间序列值；
- 惯性测量单元（IMU）数据，一个表示手势采集IMU数据的对象。它包含两个字段：
- 频率，即IMU的采样频率（单位为Hz）。所有文件中的此值均为200；
- 数据，一个长度为400的元素对象数组。每个对象具有三个字段，即陀螺仪（由3个浮点数值组成的数组）、加速度（由3个浮点数值组成的数组）和旋转（由4个浮点数值组成的数组）。

该数据集可用于训练和测试自动手势识别算法和技术，特别是自动手语解释技术。